Digital phenotyping, behavioral sensing, or personal sensing: names and transparency in the digital age

Abstract Data from networked sensors, such as those in our phones, are increasingly being explored and used to identify behaviors related to health and mental health. While computer scientists have referred to this field as context sensing, personal sensing, or mobile sensing, medicine has more rece...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: David C. Mohr, Katie Shilton, Matthew Hotopf
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2020
Materias:
Acceso en línea:https://doaj.org/article/76e155857c58433fa4e27504608c2d73
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:76e155857c58433fa4e27504608c2d73
record_format dspace
spelling oai:doaj.org-article:76e155857c58433fa4e27504608c2d732021-12-02T16:35:57ZDigital phenotyping, behavioral sensing, or personal sensing: names and transparency in the digital age10.1038/s41746-020-0251-52398-6352https://doaj.org/article/76e155857c58433fa4e27504608c2d732020-03-01T00:00:00Zhttps://doi.org/10.1038/s41746-020-0251-5https://doaj.org/toc/2398-6352Abstract Data from networked sensors, such as those in our phones, are increasingly being explored and used to identify behaviors related to health and mental health. While computer scientists have referred to this field as context sensing, personal sensing, or mobile sensing, medicine has more recently adopted the term digital phenotyping. This paper discusses the implications of these labels in light of privacy concerns, arguing language that is transparent and meaningful to the people whose data we are acquiring.David C. MohrKatie ShiltonMatthew HotopfNature PortfolioarticleComputer applications to medicine. Medical informaticsR858-859.7ENnpj Digital Medicine, Vol 3, Iss 1, Pp 1-2 (2020)
institution DOAJ
collection DOAJ
language EN
topic Computer applications to medicine. Medical informatics
R858-859.7
spellingShingle Computer applications to medicine. Medical informatics
R858-859.7
David C. Mohr
Katie Shilton
Matthew Hotopf
Digital phenotyping, behavioral sensing, or personal sensing: names and transparency in the digital age
description Abstract Data from networked sensors, such as those in our phones, are increasingly being explored and used to identify behaviors related to health and mental health. While computer scientists have referred to this field as context sensing, personal sensing, or mobile sensing, medicine has more recently adopted the term digital phenotyping. This paper discusses the implications of these labels in light of privacy concerns, arguing language that is transparent and meaningful to the people whose data we are acquiring.
format article
author David C. Mohr
Katie Shilton
Matthew Hotopf
author_facet David C. Mohr
Katie Shilton
Matthew Hotopf
author_sort David C. Mohr
title Digital phenotyping, behavioral sensing, or personal sensing: names and transparency in the digital age
title_short Digital phenotyping, behavioral sensing, or personal sensing: names and transparency in the digital age
title_full Digital phenotyping, behavioral sensing, or personal sensing: names and transparency in the digital age
title_fullStr Digital phenotyping, behavioral sensing, or personal sensing: names and transparency in the digital age
title_full_unstemmed Digital phenotyping, behavioral sensing, or personal sensing: names and transparency in the digital age
title_sort digital phenotyping, behavioral sensing, or personal sensing: names and transparency in the digital age
publisher Nature Portfolio
publishDate 2020
url https://doaj.org/article/76e155857c58433fa4e27504608c2d73
work_keys_str_mv AT davidcmohr digitalphenotypingbehavioralsensingorpersonalsensingnamesandtransparencyinthedigitalage
AT katieshilton digitalphenotypingbehavioralsensingorpersonalsensingnamesandtransparencyinthedigitalage
AT matthewhotopf digitalphenotypingbehavioralsensingorpersonalsensingnamesandtransparencyinthedigitalage
_version_ 1718383640517279744